AIMC Topic: Signal-To-Noise Ratio

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Shortening Acquisition Time and Improving Image Quality for Pelvic MRI Using Deep Learning Reconstruction for Diffusion-Weighted Imaging at 1.5 T.

Academic radiology Jul 25, 2023
RATIONALE AND OBJECTIVES: To determine the impact on acquisition time reduction and image quality of a deep learning (DL) reconstruction for accelerated diffusion-weighted imaging (DWI) of the pelvis at 1.5 T compared to standard DWI.
Signal-To-Noise Ratio Diffusion Magnetic Resonance Imaging Artifacts Humans Retrospective Studies Middle Aged Deep Learning Magnetic Resonance Imaging Pelvis Female Aged Reproducibility of Results Male
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An unsupervised two-step training framework for low-dose computed tomography denoising.

Medical physics Jul 14, 2023
BACKGROUND: Although low-dose computed tomography (CT) imaging has been more widely adopted in clinical practice to reduce radiation exposure to patients, the reconstructed CT images tend to have more noise, which impedes accurate diagnosis. Recently...
Machine Learning Algorithms Humans Neural Networks, Computer Signal-To-Noise Ratio Phantoms, Imaging Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Noise2Recon: Enabling SNR-robust MRI reconstruction with semi-supervised and self-supervised learning.

Magnetic resonance in medicine Jul 10, 2023
PURPOSE: To develop a method for building MRI reconstruction neural networks robust to changes in signal-to-noise ratio (SNR) and trainable with a limited number of fully sampled scans.
Magnetic Resonance Imaging Supervised Machine Learning Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Humans Retrospective Studies
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Robust vessel segmentation in laser speckle contrast images based on semi-weakly supervised learning.

Physics in medicine and biology Jul 7, 2023
The goal of this study is to develop a robust semi-weakly supervised learning strategy for vessel segmentation in laser speckle contrast imaging (LSCI), addressing the challenges associated with the low signal-to-noise ratio, small vessel size, and i...
Supervised Machine Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted
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DeepSeg: Deep Segmental Denoising Neural Network for Seismic Data.

IEEE transactions on neural networks and learning systems Jul 6, 2023
Noise attenuation is a crucial phase in seismic signal processing. Enhancing the signal-to-noise ratio (SNR) of registered seismic signals improves subsequent processing and, eventually, data analysis and interpretation. In this work, a novel noise r...
Neural Networks, Computer Image Processing, Computer-Assisted Signal Processing, Computer-Assisted Signal-To-Noise Ratio Magnetic Resonance Imaging Electroencephalography
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A Deep Learning Approach for Rapid and Generalizable Denoising of Photon-Counting Micro-CT Images.

Tomography (Ann Arbor, Mich.) Jul 2, 2023
Photon-counting CT (PCCT) is powerful for spectral imaging and material decomposition but produces noisy weighted filtered backprojection (wFBP) reconstructions. Although iterative reconstruction effectively denoises these images, it requires extensi...
Neural Networks, Computer Deep Learning Signal-To-Noise Ratio X-Ray Microtomography
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Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models.

IEEE transactions on pattern analysis and machine intelligence Jun 30, 2023
Image restoration under adverse weather conditions has been of significant interest for various computer vision applications. Recent successful methods rely on the current progress in deep neural network architectural designs (e.g., with vision trans...
Algorithms Signal-To-Noise Ratio Neural Networks, Computer
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Global attention-enabled texture enhancement network for MR image reconstruction.

Magnetic resonance in medicine Jun 29, 2023
PURPOSE: Although recent convolutional neural network (CNN) methodologies have shown promising results in fast MR imaging, there is still a desire to explore how they can be used to learn the frequency characteristics of multicontrast images and reco...
Magnetic Resonance Imaging Signal-To-Noise Ratio Brain Neural Networks, Computer Image Processing, Computer-Assisted
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HCformer: Hybrid CNN-Transformer for LDCT Image Denoising.

Journal of digital imaging Jun 29, 2023
Low-dose computed tomography (LDCT) is an effective way to reduce radiation exposure for patients. However, it will increase the noise of reconstructed CT images and affect the precision of clinical diagnosis. The majority of the current deep learnin...
Tomography, X-Ray Computed Image Processing, Computer-Assisted Signal-To-Noise Ratio Humans Neural Networks, Computer Algorithms
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Fast high-quality MRI protocol of the lumbar spine with deep learning-based algorithm: an image quality and scanning time comparison with standard protocol.

Skeletal radiology Jun 28, 2023
OBJECTIVE: The objective of this study is to prospectively compare quantitative and subjective image quality, scanning time, and diagnostic confidence between a new deep learning-based reconstruction(DLR) algorithm and standard MRI protocol of lumbar...
Signal-To-Noise Ratio Lumbar Vertebrae Deep Learning Magnetic Resonance Imaging Humans Algorithms
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